Research Article
Kernel Negative ε Dragging Linear Regression for Pattern Classification
Table 5
Accuracies (%) of different methods on the YaleB database.
| Number of training samples per class | 5 | 6 | 7 | 8 |
| Our method | 80.48 | 81.67 | 82.28 | 84.55 | DLSR | 76.05 | 78.48 | 79.33 | 77.54 | CLSR | 76.83 | 78.87 | 80.11 | 77.85 | NNLS | 68.98 | 73.39 | 73.38 | 75.14 | -SVM | 74.45 | 76.53 | 75.58 | 76.93 | KNN | 57.56 | 60.42 | 60.14 | 60.92 | SRC | 82.53 | 84.54 | 85.22 | 85.29 | LRC | 79.14 | 81.01 | 80.87 | 84.36 | NDLR | 77.02 | 79.40 | 80.25 | 78.73 |
|
|